Decreased vancomycin clearance in patients with congestive heart failure

Machine Learning-Based Prediction of Digoxin Toxicity in Heart Failure: A Multicenter Retrospective Study

Digoxin toxicity (plasma digoxin concentration ≥0.9 ng/mL) is associated with worsening heart failure (HF). Decision tree (DT) analysis, a machine learning method, has a flowchart-like model where users can easily predict the risk of adverse drug reactions. The present study aimed to construct a flowchart using DT analysis that can be used by medical staff to predict digoxin toxicity. We conducted a multicenter retrospective study involving 333 adult patients with HF who received oral digoxin treatment. In this study, we employed a chi-squared automatic interaction detection algorithm to construct DT models. The dependent variable was set as the plasma digoxin concentration (≥ 0.9 ng/mL) in the trough during the steady state, and factors with p < 0.2 in the univariate analysis were set as the explanatory variables. Multivariate logistic regression analysis was conducted to validate the DT model. The accuracy and misclassification rates of the model were evaluated. In the DT analysis, patients with creatinine clearance <32 mL/min, daily digoxin dose ≥1.6 µg/kg, and left ventricular ejection fraction ≥50% showed a high incidence of digoxin toxicity (91.8%; 45/49). Multivariate logistic regression analysis revealed that creatinine clearance <32 mL/min and daily digoxin dose ≥1.6 µg/kg were independent risk factors. The accuracy and misclassification rates of the DT model were 88.2 and 46.2 ± 2.7%, respectively. Although the flowchart created in this study needs further validation, it is straightforward and potentially useful for medical staff in determining the initial dose of digoxin in patients with HF.

Effect of polypharmacy on plasma bepridil concentration in patients with heart failure: a multicenter retrospective study

BACKGROUND

Polypharmacy, defined as the concurrent use of over six drugs, is common in the treatment of heart failure (HF); however, unpredictable drug interactions with bepridil may occur. In this study, we have elucidated the influence of polypharmacy on plasma bepridil concentrations in patients with HF.

METHODS

We conducted a multicenter retrospective study involving 359 adult patients with HF who received oral bepridil. Because QT prolongation is an adverse effect following plasma bepridil concentrations ≥800 ng/mL, the risk factors for patients achieving these concentrations at steady state were elucidated via multivariate logistic regression. The correlation between bepridil dose and plasma concentration was examined. The effect of polypharmacy on the value of the concentration-to-dose (C/D) ratio was investigated.

RESULTS

A significant relationship was observed between bepridil dose and plasma concentration (p <  0.001), and the intensity of the correlation was moderate (r = 0.503). Based on multivariate logistic regression, the adjusted odds ratios for a daily dose of bepridil ≥1.6 mg/kg, polypharmacy, and concomitant of aprindine, a cytochrome P450 2D6 inhibitor, were 6.82 (95% coefficient interval: 2.104-22.132, p = 0.001), 2.96 (95% coefficient interval: 1.014-8.643, p = 0.047), and 8.63 (95% coefficient interval: 1.684-44.215, p = 0.010), respectively. Despite the moderate correlation in non-polypharmacy, the correlation was not observed in polypharmacy. Therefore, inhibiting metabolism, along with other mechanisms, may contribute to the polypharmacy-induced increase in plasma bepridil concentrations. Moreover, the C/D ratios in the groups receiving 6-9 and 10≤ concomitant drugs were 1.28- and 1.70-fold higher than in those receiving <6 drugs, respectively.

CONCLUSIONS

Plasma bepridil concentrations may be influenced by polypharmacy. Moreover, the plasma bepridil concentration increased in correlation with the number of concomitant drugs used. Although the mechanism of this increase could not be determined, plasma bepridil concentrations should be periodically monitored for safe use in patients with HF.

TRIAL REGISTRATION

Retrospectively registered.

Exploratory Study of Pharmacists' Monitoring Methods Based on Left Ventricular Function for Hypermagnesemia by Magnesium Oxide in Heart Failure

Serum magnesium (Mg) monitoring in patients with heart failure (HF) receiving magnesium oxide (MgO) is not adequately performed. Furthermore, the relationship between left ventricular function (LVF) and hypermagnesemia in HF is unknown. Here, we investigated the efficacy of serum Mg monitoring by protocol-based pharmaceutical management (PBPM) and the effect of LVF on hypermagnesemia. This protocol is for patients with an estimated glomerular filtration rate of <45 mL/min, receiving MgO, and admitted to the cardiology unit. The pharmacist includes the measurement of Mg when a blood test is ordered for a patient by their physician. Rates of serum Mg measurement and hypermagnesemia detection were compared at 2 years pre-PBPM (n = 88) and at 2 years post-PBPM (n = 55). LVF parameters and reported factors for hypermagnesemia were selected as explanatory factors on multivariate logistic regression. The measurement rate of serum Mg concentration significantly increased from 19.3% pre-PBPM to 80.0% post-PBPM (P < .001). The detection rate of hypermagnesemia also increased from 3.4% to 27.3%, respectively (P < .001). Our results suggest that serum Mg monitoring by PBPM may contribute to the early detection of hypermagnesemia and prevent its progression in HF. According to logistic regression, the adjusted odds ratio for hypermagnesemia with an exacerbation of HF was 9.57 (95% confidence interval: 1.594-57.477, P = .014), and the E/e' > 15, an index of reduced left ventricular diastolic capacity, was 6.46 (95% confidence interval: 1.291-32.364, P = .023). We propose that serum Mg monitoring should be performed during exacerbations of HF in patients with left ventricular diastolic dysfunction, with a pharmacist's assistance.

Microbial metabolites and heart failure: Friends or enemies?

Heart failure (HF), a global health issue characterized by structural or functional cardiac dysfunction, which was found to be associated with the gut microbiome recently. Although multiple studies suggested that the gut microbiome may have an impact on the development of cardiovascular diseases, the underlying mechanism of the gut microbiome in HF remains unclear. The study of metabolites from gut microbiota influenced by dietary nutrition uptake suggested that gut microbiota may affect the process of HF. However, on the basis of the microbiota’s complicated roles and their interactions with metabolites, studies of microbial metabolites in HF had rarely been described so far. In this review, we focused on dietary nutrition-related factors that were involved in the development and progression of HF, such as trimethylamine N-oxide (TMAO), short-chain fatty acids (SCFAs), and bile acids (BAs), to summarize their advances and several potential targets in HF. From a therapeutic standpoint, we discussed microbial metabolites as a potential strategy and their applications in HF as well.

Prediction Accuracy of Area under the Concentration-Time Curve of Vancomycin by Bayesian Approach Using Creatinine-Based Equations of Estimated Kidney Function in Bedridden Elderly Japanese Patients

An administration plan for vancomycin (VCM) in bedridden elderly patients has not been established. This retrospective study aimed to evaluate the prediction accuracy of the area under the concentration-time curve (AUC) of VCM by the Bayesian approach using creatinine-based equations of estimated kidney function in such patients. Kidney function was estimated using the Japanese equation of estimated glomerular filtration rate (eGFR) and the Cockcroft-Gault equation of estimated creatinine clearance (eCCr). eCCr (serum creatinine (SCr) + 0.2) was calculated by substituting the SCr level +0.2 mg/dL into the Cockcroft-Gault equation. For eGFR/0.789, eGFR, eCCr, and eCCr (SCr + 0.2), the AUC values were calculated by the Bayesian approach using the therapeutic drug monitoring (TDM) software, BMs-Pod (ver 8.06) and denoted as AUC_eGFR/0.789, AUC_eGFR, AUC_eCCr, and AUC_{eCCr (SCr + 0.2)} respectively. The reference AUC (AUC_REF) was calculated by applying VCM's peak and trough steady-state concentrations to first-order pharmacokinetic equations. The medians (range) of AUC_eGFR/0.789/AUC_REF, AUC_eGFR/AUC_REF, AUC_eCCr/AUC_REF, and AUC_{eCCr (SCr + 0.2)}/AUC_REF were 0.88 (0.74-0.93), 0.90 (0.79-1.04), 0.92 (0.81-1.07), and 1.00 (0.88-1.11), respectively. Moreover, the percentage of patients within 10% of the AUC_REF, defined as |Bayesian-estimated AUC - AUC_REF| < AUC_REF × 0.1, was the highest (86%) in AUC_{eCCr (SCr + 0.2)}. These results suggest that the Bayesian approach using eCCr (SCr + 0.2) has the highest prediction accuracy for the AUC_REF in bedridden elderly patients. Although further studies are required with more accurate determination methods of the CCr and AUC, our findings highlight the potential of eCCr (SCr + 0.2) for estimating VCM's AUC by the Bayesian approach in such patients.

Clinical Practice Guidelines for Therapeutic Drug Monitoring of Vancomycin in the Framework of Model-Informed Precision Dosing: A Consensus Review by the Japanese Society of Chemotherapy and the Japanese Society of Therapeutic Drug Monitoring

Background: To promote model-informed precision dosing (MIPD) for vancomycin (VCM), we developed statements for therapeutic drug monitoring (TDM). Methods: Ten clinical questions were selected. The committee conducted a systematic review and meta-analysis as well as clinical studies to establish recommendations for area under the concentration-time curve (AUC)-guided dosing. Results: AUC-guided dosing tended to more strongly decrease the risk of acute kidney injury (AKI) than trough-guided dosing, and a lower risk of treatment failure was demonstrated for higher AUC/minimum inhibitory concentration (MIC) ratios (cut-off of 400). Higher AUCs (cut-off of 600 μg·h/mL) significantly increased the risk of AKI. Although Bayesian estimation with two-point measurement was recommended, the trough concentration alone may be used in patients with mild infections in whom VCM was administered with q12h. To increase the concentration on days 1–2, the routine use of a loading dose is required. TDM on day 2 before steady state is reached should be considered to optimize the dose in patients with serious infections and a high risk of AKI. Conclusions: These VCM TDM guidelines provide recommendations based on MIPD to increase treatment response while preventing adverse effects.

Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment

Background

The standard dose of vancomycin (VCM, 2 g/day) sometimes fails to achieve therapeutic concentration in patients with normal renal function. In this study, we aimed to identify factors to predict patients who require high-dose vancomycin (> 2 g/day) to achieve a therapeutic concentration and to develop a decision flowchart to select these patients prior to VCM administration.

Methods

Patients who had an estimated creatinine clearance using the Cockcroft–Gault equation (eCCr) of ≥50 mL/min and received intravenous VCM were divided into 2 cohorts: an estimation set (n = 146, from April to September 2016) and a validation set (n = 126, from October 2016 to March 2017). In each set, patients requiring ≤2 g/day of VCM to maintain the therapeutic trough concentration (10–20 μg/mL) were defined as standard-dose patients, while those who needed > 2 g/day were defined as high-dose patients. Univariate and multivariate logistic regression analysis was performed to identify the predictive factors for high-dose patients and decision tree analysis was performed to develop decision flowchart to identify high-dose patients.

Results

Among the covariates analyzed, age and eCCr were identified as independent predictors for high-dose patients. Further, the decision tree analysis revealed that eCCr (cut off value = 81.3 mL/min) is the top predictive factor and is followed by age (cut off value = 58 years). Based on these findings, a decision flowchart was constructed, in which patients with eCCr ≥81.3 mL/min and age < 58 years were designated as high-dose patients and other patients were designated as standard-dose patients. Subsequently, we applied this decision flowchart to the validation set and obtained good predictive performance (positive and negative predictive values are 77.6 and 84.4%, respectively).

Conclusion

These results suggest that the decision flowchart constructed in this study provides an important contribution for avoiding underdosing of VCM in patients with eCCr of ≥50 mL/min.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40780-021-00231-w.

Evaluation of a hospital-wide vancomycin-dosing nomogram in patients with continuous-flow left ventricular assist devices

INTRODUCTION

Hemodynamic derangements due to heart failure are associated with alterations in pharmacokinetics. Although use of mechanical circulatory support mitigates such derangements, little evidence is available regarding pharmacokinetics in patients with LVADs. A previous pharmacokinetic analysis of vancomycin among patients with LVADs observed a reduced volume of distribution and clearance compared with estimates based on population kinetics.

METHODS

A total of 28 adult patients with LVADs hospitalized between January 2014 and May 2018 who received vancomycin through a pharmacist dosing consult were included. Internal medicine patients without heart failure receiving vancomycin were enrolled in a 2:1 fashion to make a control group. Exclusion criteria were unstable renal function, ESRD, acute decompensation, cardiac surgery within the preceding 5 days, or weight >110 kg.

RESULTS

No difference was observed in the proportion achieving goal trough (64% of LVAD patients vs 71% control patients, p = 0.50). However, mean trough was significantly higher among LVAD patients (23.4 mg/L vs 17.7 mg/L, p = 0.017). Furthermore, there was a significant difference in the distribution of trough levels (p = 0.025) with LVAD patients being more likely to attain levels >25 mg/L (32% vs 14%) and less likely to have troughs <10 mg/L (4% vs 14%). A numerically greater number of LVAD patients experienced nephrotoxicity but this did not reach statistical significance (32% vs 18%, p = 0.14).

CONCLUSION

The use of vancomycin in LVAD patients may result in higher trough levels when compared to internal medicine patients. Increased monitoring or conservative dosing may be warranted to improve safety and efficacy.

A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance

BACKGROUND

The objective of this study was to compare the performance of cystatin C- and creatinine-based estimated glomerular filtration rate (eGFR) equations in predicting the clearance of vancomycin.

METHODS

MEDLINE and Embase databases were searched from inception up to September 2019 to identify all studies that compared the predictive performance of cystatin C- and/or creatinine-based eGFR in predicting the clearance of vancomycin. The prediction errors (PEs) (the value of eGFR equations minus vancomycin clearance) were quantified for each equation and were pooled using a random-effects model. The root mean squared errors were also quantified to provide a metric for imprecision.

RESULTS

This meta-analysis included evaluations of seven different cystatin C- and creatinine-based eGFR equations in total from 26 studies and 1,234 patients. The mean PE (MPE) for cystatin C-based eGFR was 4.378 mL min^-1 (95% confidence interval [CI], -29.425, 38.181), while the creatinine-based eGFR provided an MPE of 27.617 mL min^-1 (95% CI, 8.675, 46.560) in predicting clearance of vancomycin. This indicates the presence of unbiased results in vancomycin clearance prediction by the cystatin C-based eGFR equations. Meanwhile, creatinine-based eGFR equations demonstrated a statistically significant positive bias in vancomycin clearance prediction.

CONCLUSION

Cystatin C-based eGFR equations are better than creatinine-based eGFR equations in predicting the clearance of vancomycin. This suggests that utilising cystatin C-based eGFR equations could result in better accuracy and precision to predict vancomycin pharmacokinetic parameters.

Increased Arbekacin Clearance in Patients With Febrile Neutropenia

BACKGROUND

Arbekacin (ABK) is used to treat infections caused by methicillin-resistant Staphylococcus aureus and is used widely for the treatment of febrile neutropenia (FN). As ABK has a narrow therapeutic concentration window, the dosage must be adjusted via therapeutic drug monitoring. However, the influence of the physiology of patients with FN on the pharmacokinetic (PK) parameters of ABK remains unclear. Therefore, we examined this influence on ABK PK parameters.

METHOD

We performed a retrospective cohort study using data from patients with a hematologic malignancy who were ≥18 years and had been administered ABK. We excluded patients who did not receive therapeutic drug monitoring and had an estimated glomerular filtration rate (eGFR) of <30 mL/min, because clinically sufficient data would not be available.

RESULT

Of the 99 enrolled patients, 25 did not have FN and 74 had FN. Arbekacin clearance (CLabk) was shown to correlate with eGFR in patients with FN (r = 0.32, P = 0.0062) and without FN (r = 0.50, P = 0.01). CLabk was higher in patients with FN than in those without FN. In addition, in the eGFR of <100 mL/min group (normal renal function), CLabk and CLabk/eGFR were also higher in patients with FN than in those without FN.

CONCLUSIONS

CLabk was increased in patients with FN and normal renal function; therefore, we propose an increased ABK dose for patients with FN and normal renal function.

Relationship between hemoglobin levels and vancomycin clearance in patients with sepsis

PURPOSE

It is important to accurately estimate accurate vancomycin (VCM) clearance (CLvcm) for appropriate VCM dosing in the treatment of patients with sepsis. However, the pathophysiology of sepsis can make CLvcm prediction less accurate. Clearance of hydrophilic antibiotics is disturbed by organ dysfunction, and hemoglobin levels are negatively correlated with sequential organ function assessment scores. We investigated whether hemoglobin levels are associated with CLvcm in sepsis patients.

METHODS

We performed a retrospective cohort study of patients treated with VCM in the Emergency and Critical Care Center of Nihon University Itabashi Hospital between 2005 and 2015. We enrolled 72 patients after exclusion of patients who received renal replacement therapy or surgery, had a change in hemoglobin levels more than 2 g/dL or received an erythrocyte infusion during the interval between initial VCM administration and measurement of initial trough levels, had a serum baseline creatinine level of ≥ 2 mg/dL, or were under 18 years old.

RESULTS

Enrolled patients consisted of 13 non-sepsis patients and 59 sepsis patients. In sepsis patients, although CLvcm was correlated with CrCl in HGB ≥ 9 group as well as in non-sepsis patients, its correlation was not observed in HGB < 9 group. Hemoglobin levels were correlated with CLvcm in sepsis patients but not in non-sepsis patient. Multiple linear regression analysis also indicated that lower CLvcm was associated with lower hemoglobin and CrCl.

CONCLUSION

Lower hemoglobin levels influence a relationship between CLvcm and CrCl in sepsis patients. We propose that VCM dosing should be adjusted for hemoglobin levels in sepsis patients.

Clinical pharmacology considerations for children supported with ventricular assist devices

The ventricular assist device is being increasingly used as a "bridge-to-transplant" option in children with heart failure who have failed medical management. Care for this medically complex population must be optimised, including through concomitant pharmacotherapy. Pharmacokinetic/pharmacodynamic alterations affecting pharmacotherapy are increasingly discovered in children supported with extracorporeal membrane oxygenation, another form of mechanical circulatory support. Similarities between extracorporeal membrane oxygenation and ventricular assist devices support the hypothesis that similar alterations may exist in ventricular assist device-supported patients. We conducted a literature review to assess the current data available on pharmacokinetics/pharmacodynamics in children with ventricular assist devices. We found two adult and no paediatric pharmacokinetic/pharmacodynamic studies in ventricular assist device-supported patients. While mechanisms may be partially extrapolated from children supported with extracorporeal membrane oxygenation, dedicated investigation of the paediatric ventricular assist device population is crucial given the inherent differences between the two forms of mechanical circulatory support, and pathophysiology that is unique to these patients. Commonly used drugs such as anticoagulants and antibiotics have narrow therapeutic windows with devastating consequences if under-dosed or over-dosed. Clinical studies are urgently needed to improve outcomes and maximise the potential of ventricular assist devices in this vulnerable population.

[Evaluation of Pharmacotherapy on Emergency and Intensive Care Medicine: The Influence of Intensity and Duration of Invasion]

 Critically ill patients who receive high-level invasion show physiological changes different from those under more normal conditions, along with variable therapeutic effects and pharmacokinetics. The concept of systemic inflammatory response syndrome (SIRS) has been introduced to describe the clinical state resulting from invasive actions taken under acute circumstances, resulting in an acute-phase systemic response. In particular, dosages of vancomycin (VCM) and phenytoin (PHT) need to be adjusted by therapeutic drug monitoring (TDM) because of their narrow therapeutic concentration windows. However, there are few reports on the pharmacokinetics of VCM and PHT in patients with SIRS. We performed a retrospective cohort study of patients treated with VCM and PHT. These studies suggest that the pharmacokinetics of VCM are affected by SIRS score and duration. Furthermore, the concentration of PHT was also shown to be higher in SIRS patients compared with non-SIRS patients. These findings suggest that the pharmacokinetics of VCM and PHT may be affected by the pathology of SIRS, rather than by other patient characteristics. Modifying dosing according to SIRS will improve the prediction accuracy of drug concentration based on TDM. In this review, I introduce work conducted by pharmacists in the clinical study of critically ill patients, and will be discussing the evaluation of pharmacotherapy in emergency and intensive care medicine.

Sustained improvement in vancomycin dosing and monitoring post-implementation of guidelines: Results of a three-year follow-up after a multifaceted intervention in an Australian teaching hospital

INTRODUCTION

Despite vancomycin being in use for over half-a-century, it is still not dosed or monitored appropriately in many centers around the world. The objective of this study was to determine the effectiveness of a multifaceted intervention to implement a vancomycin dosing and monitoring guideline across multiple medical and surgical units over time.

METHODS

This was an observational before-and-after interventional cohort study. The pre-intervention period was August to December 2010-2011 and the post-intervention period was September to November 2012-2014. The implementation strategy comprised: face-to-face education, online continuing medical education, dissemination of pocket guideline and email reminder. Outcome measures included: appropriate prescribing of loading and maintenance doses, therapeutic drug monitoring, time to attain target range and nephrotoxicity.

RESULTS

Post-implementation prescribing of loading doses increased (10.4%-43.6%, P=<0.001), guideline adherent first maintenance dose (44%-68.4% P = 0.04), correct dose adjustment from (53.1%-72.2%, P = 0.009). Beneficial effects pre and post-implementation were observed for adherent timing of initial concentration (43.2%-51.9%, P = 0.01), concentrations in target range (32.6%-44.1%, P = 0.001), time to target range (median 6-4 days, P=<0.001), potentially nephrotoxic concentrations (30.7%-20.9%, P=<0.001) and nephrotoxicity (10.4%-6.8%, P=<0.001).

CONCLUSIONS

A multifaceted intervention to implement a vancomycin dosing and monitoring guideline significantly improved prescribing, monitoring, pharmacokinetic and safety outcomes for patients treated with vancomycin over an extended period. However, increased guideline adoption by clinicians is required to maximize and prolong the utility of this important agent.

Identification of Risk Factors for Initial Elevated Vancomyin Trough Concentrations

Background: Recent literature suggests that elevated vancomycin trough concentrations (>20 µg/mL) may be associated with an increased risk of nephrotoxicity and lead to an increase in mortality and hospital length of stay. Objective: The purpose of this study was to identify variables that may be predictive of elevated initial vancomycin trough concentrations. Methods: Retrospective case–control study of all adult patients who had an initial vancomycin trough concentration measured between January 1, 2013, and December 31, 2014. Case patients had an initial trough concentration >20 µg/mL, while control patients had an initial trough concentration of ≤20 µg/mL. Patients were excluded from the study if they were in the intensive care unit, had unstable renal function, or if they had cystic fibrosis, solid organ transplant, or bone marrow transplant. Results: Of the 512 vancomycin trough concentrations reviewed, 54 patients met the case definition, while 140 patients were randomly selected as controls. In a multivariate model, baseline serum creatinine, body mass index, heart failure, and malignancy were all independently predictive of an initial vancomycin concentration >20 µg/mL. Conclusions: Reduced baseline renal function coupled with increasing body mass index is associated with an increased risk of an elevated initial vancomycin trough concentration. This risk is further enhanced by the presence of heart failure and/or malignancy. When these risk factors are present, it may be prudent to consider implementation of individualized dosing to achieve initial target concentrations.

Intravenous Antibiotics Used in the Treatment of Methicillin-Resistant Staphylococcus Aureus

Methicillin-resistant Staphylococcus aureus (MRSA) continues to cause significant morbidity and mortality. Despite advances in medical care, the prevalence of both community-acquired and hospital-acquired MRSA has progressively increased. Community-acquired MRSA typically occurs in patients without recent illness or hospitalization, presents as acute skin and soft tissue infections, and is usually not multidrug resistant. Hospital-acquired MRSA, however, presents in patients recently hospitalized or treated in long-term care settings and in those who have had medical procedures and is usually associated with multidrug-resistant strains. Both types of infections, if not properly treated, have the potential to become invasive. This article discusses current intravenous antibiotics that are available for the empiric treatment of MRSA infections along with a newer phenomenon known as the "seesaw effect."

Intravenous Antibiotics Used in the Treatment of Methicillin-Resistant Staphylococcus Aureus

Methicillin-resistant Staphylococcus aureus (MRSA) continues to cause significant morbidity and mortality. Despite advances in medical care, the prevalence of both community-acquired and hospital-acquired MRSA has progressively increased. Community-acquired MRSA typically occurs in patients without recent illness or hospitalization, presents as acute skin and soft tissue infections, and is usually not multidrug resistant. Hospital-acquired MRSA, however, presents in patients recently hospitalized or treated in long-term care settings and in those who have had medical procedures and is usually associated with multidrug-resistant strains. Both types of infections, if not properly treated, have the potential to become invasive. This article discusses current intravenous antibiotics that are available for the empiric treatment of MRSA infections along with a newer phenomenon known as the “seesaw effect.”

Dosing of Vancomycin in Patients with Continuous-Flow Left Ventricular Assist Devices: A Clinical Pharmacokinetic Analysis

Purpose

To describe the pharmacokinetics of vancomycin in patients with continuous-flow left ventricular assist devices (CF-LVADs).

Methods

Eligible patients were ≥18 years old, implanted with a Heart Mate II CF-LVAD during January 2008-April 2012, and treated with vancomycin ≥48 hours for infection. Key exclusion criteria were unstable renal function, acute heart failure exacerbation, hemodynamic instability, and recent surgery. First-order elimination rate constant (Ke) and volume of distribution (Vd) were estimated using ideal (IBW), adjusted (AdjBW), actual (ABW), and fixed body weights. Estimated parameters were compared with measured pharmacokinetic parameters, which were calculated from steady state peak and trough vancomycin levels using one-compartment model equations.

Results

Twelve patients were included (age 44.9 ± 15 years, 91.7% male, 58.3% obese, CLcr 79.2 ± 27 mL · min-1). Common treatment indications were health-care associated pneumonia (41.7%), driveline infection (25%), and sepsis (16.7%). All methods of predicting Ke provided overestimates (p<0.05), ranging from 47 to 79%, depending on body habitus. Methods of predicting Vd using ABW in obese patients yielded overestimates of 74.5% (p<0.05), where IBW predictive Vd equations provided accurate assessments regardless of body habitus.

Conclusions

General population methods may not accurately estimate the pharmacokinetic parameters of vancomycin for compensated heart failure patients implanted with CF-LVADs.